Snowflake hiring Data Analyst / BI Engineer

Apply link: https://careers.snowflake.com/us/en/job/SNCOUS29C0F9A80BAD4887BB8231F6D4F388E9EXTERNALENUS0F258D48B171424BA32D72F9DEC0D297/Data-Analyst-BI-Engineer?utm_source=jobs_sql

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Autodesk hiring Data Analyst

Apply link: https://autodesk.wd1.myworkdayjobs.com/Ext/job/Bengaluru-IND/Data-Analyst_25WD86554-2?src=JB-10065&source=LinkedIn

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Puma Energy hiring Data Analyst

Apply link: https://trafigura.wd3.myworkdayjobs.com/en-US/Puma_Energy_Careers/job/Mumbai---Puma-Vikhroli-Office/Senior-Business-Analyst---South-Africa_R-014963?source=linkedin

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Axa XL hiring Associate Data Scientist

Apply link: https://xl.taleo.net/careersection/001xlcatlinexternalcareersection/jobdetail.ftl?job=5085314&%27utm_source=linkedin&utm_medium=jobboard

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🚀 Key Skills for Aspiring Tech Specialists

📊 Data Analyst:
- Proficiency in SQL for database querying
- Advanced Excel for data manipulation
- Programming with Python or R for data analysis
- Statistical analysis to understand data trends
- Data visualization tools like Tableau or PowerBI
- Data preprocessing to clean and structure data
- Exploratory data analysis techniques

🧠 Data Scientist:
- Strong knowledge of Python and R for statistical analysis
- Machine learning for predictive modeling
- Deep understanding of mathematics and statistics
- Data wrangling to prepare data for analysis
- Big data platforms like Hadoop or Spark
- Data visualization and communication skills
- Experience with A/B testing frameworks

🏗 Data Engineer:
- Expertise in SQL and NoSQL databases
- Experience with data warehousing solutions
- ETL (Extract, Transform, Load) process knowledge
- Familiarity with big data tools (e.g., Apache Spark)
- Proficient in Python, Java, or Scala
- Knowledge of cloud services like AWS, GCP, or Azure
- Understanding of data pipeline and workflow management tools

🤖 Machine Learning Engineer:
- Proficiency in Python and libraries like scikit-learn, TensorFlow
- Solid understanding of machine learning algorithms
- Experience with neural networks and deep learning frameworks
- Ability to implement models and fine-tune their parameters
- Knowledge of software engineering best practices
- Data modeling and evaluation strategies
- Strong mathematical skills, particularly in linear algebra and calculus

🧠 Deep Learning Engineer:
- Expertise in deep learning frameworks like TensorFlow or PyTorch
- Understanding of Convolutional and Recurrent Neural Networks
- Experience with GPU computing and parallel processing
- Familiarity with computer vision and natural language processing
- Ability to handle large datasets and train complex models
- Research mindset to keep up with the latest developments in deep learning

🤯 AI Engineer:
- Solid foundation in algorithms, logic, and mathematics
- Proficiency in programming languages like Python or C++
- Experience with AI technologies including ML, neural networks, and cognitive computing
- Understanding of AI model deployment and scaling
- Knowledge of AI ethics and responsible AI practices
- Strong problem-solving and analytical skills

🔊 NLP Engineer:
- Background in linguistics and language models
- Proficiency with NLP libraries (e.g., NLTK, spaCy)
- Experience with text preprocessing and tokenization
- Understanding of sentiment analysis, text classification, and named entity recognition
- Familiarity with transformer models like BERT and GPT
- Ability to work with large text datasets and sequential data

🌟 Embrace the world of data and AI, and become the architect of tomorrow's technology!

NVIDIA hiring Data Insights & Analytics Engineer

Apply link: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/India-Pune/Data-Insights-and-Analytics-Engineer_JR1996856?source=jobboardlinkedin

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BCG is hiring Analyst 🚀

Experience : 1 Year
Location : Gurgaon

Apply link : https://careers.bcg.com/global/en/job/BCG1US51333EXTERNALENGLOBAL/Analyst-Geo-Analytics-India-X-Delivery?utm_source=linkedin&utm_medium=phenom-feeds&Source+=LinkedIn+Job+Board

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Wipro is hiring!
Position: Data Analyst
Qualification: Bachelor’s/ Master’s Degree
Salary: 5 - 9 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bengaluru, India

📌Apply Now: https://careers.wipro.com/job/Bengaluru-Data-Analyst-560035/1157075055/

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WTW hiring SQL Developer

Apply link: https://eedu.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1003/job/202502936?utm_medium=jobboard&utm_source=LinkedIn_Slots

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MSCI hiring Python Data Analyst

Apply link: https://globalcareers-msci.icims.com/jobs/2408/python-data-analyst/job?mode=job&iis=Job+Posting&iisn=LinkedIn

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𝐄𝐘 𝐎𝐟𝐟 𝐂𝐚𝐦𝐩𝐮𝐬 𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 𝐃𝐫𝐢𝐯𝐞!
Position: Associate Analyst
Qualification: Graduate/ Postgraduate/ MBA
Salary: 4.6 - 6.8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Across India

📌Apply Link: https://eyglobal.yello.co/jobs/YY7fS0wExEsVY0aIkg0CcQ?job_board_id=c1riT--B2O-KySgYWsZO1Q

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Warner Bros is hiring Analyst 🚀

Experience : 1-2 Years
Location : Hyderabad

Apply link : https://careers.wbd.com/global/en/job/WAMEGLOBALR000091998EXTERNALENGLOBAL/Analyst-Data-Governance?utm_source=linkedin&utm_medium=phenom-feeds

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Cherry Bekaert is hiring Business Analyst 🚀

Qualification : Bachelor's degree
Experience : Freshers / Experienced
Location : Remote ( Hyderabad )

Apply link : https://www.linkedin.com/jobs/view/4217337234

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Barclays hiring Data Analyst

Apply link: https://search.jobs.barclays/job/-/-/13015/80634032480?src=JB-12860

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Ford hiring Data Scientist

Apply link: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/job/44845/?utm_medium=jobboard&utm_source=linkedin

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Luxoft hiring Power BI Developer

Apply link: https://www.linkedin.com/jobs/view/4217157708

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CGI is hiring Data Analyst!
Qualifications: Bachelor’s/ Master’s Degree
Salary: 6 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

📌Apply Now: https://cgi.njoyn.com/corp/xweb/xweb.asp?NTKN=c&clid=21001&Page=JobDetails&Jobid=J0425-0891&BRID=1206840&lang=1

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Physics Wallah is hiring Business Analyst Intern 🚀

Experience : Freshers
Skills : Excel & SQL
Location : Noida

Apply link : https://www.linkedin.com/jobs/view/4219498512

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HSBC is hiring!
Position: Business Analyst
Qualifications: Bachelor’s/ Master’s Degree
Salary: 7 - 12 LPA (Expected)
Experience: Freshers/ Experienced
Location: Hyderabad, India (Hybrid)

📌Apply Now: https://mycareer.hsbc.com/en_GB/external/PipelineDetail/Business-Analyst/260829

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Starting your journey as a data analyst is an amazing start for your career. As you progress, you might find new areas that pique your interest:

• Data Science: If you enjoy diving deep into statistics, predictive modeling, and machine learning, this could be your next challenge.

• Data Engineering: If building and optimizing data pipelines excites you, this might be the path for you.

• Business Analysis: If you're passionate about translating data into strategic business insights, consider transitioning to a business analyst role.

But remember, even if you stick with data analysis, there's always room for growth, especially with the evolving landscape of AI.

No matter where your path leads, the key is to start now.

Key SQL Concepts for Data Analyst Interviews

1. Joins: Understand how to use INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN to combine data from different tables, ensuring you can retrieve the needed information from relational databases.

2. Group By and Aggregate Functions: Master GROUP BY along with aggregate functions like COUNT(), SUM(), AVG(), MAX(), and MIN() to summarize data and generate meaningful reports.

3. Data Filtering: Use WHERE, HAVING, and CASE statements to filter and manipulate data effectively, enabling precise data extraction based on specific conditions.

4. Subqueries: Employ subqueries to retrieve data nested within other queries, allowing for more complex data retrieval and analysis scenarios.

5. Window Functions: Leverage window functions such as ROW_NUMBER(), RANK(), DENSE_RANK(), and LAG() to perform calculations across a set of table rows, returning result sets with contextual calculations.

6. Data Types: Ensure proficiency in choosing and handling various SQL data types (VARCHAR, INT, DATE, etc.) to store and query data accurately.

7. Indexes: Learn how to create and manage indexes to speed up the retrieval of data from databases, particularly in tables with large volumes of records.

8. Normalization: Apply normalization principles to organize database tables efficiently, reducing redundancy and improving data integrity.

9. CTEs and Views: Utilize Common Table Expressions (CTEs) and Views to write modular, reusable, and readable queries, making complex data analysis tasks more manageable.

10. Data Import/Export: Know how to import and export data between SQL databases and other tools like BI tools to facilitate comprehensive data analysis workflows.

Here you can find SQL Interview Resources👇
https://t.me/DataSimplifier

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Hope it helps :)